AI scenario checker
AI Image and Video Generator Compliance Checker
Synthetic media tools need special attention because generated images, audio, or video can be mistaken for real events, people, or endorsements.
Usually limited-risk, with stronger controls for realistic or public media.
Who this checker is for
AI media tools, creator platforms, marketing agencies, and product teams shipping synthetic media features.
Risk signals to check
Use this page as a scenario-specific starting point. The prefilled checker turns these signals into the underlying EU AI Act questionnaire and keeps every answer editable.
- The content could be mistaken for real people, events, or statements.
- Users can create public media at scale.
- The tool may produce political, medical, financial, or reputational content.
- Watermarking, labeling, provenance, or abuse controls may be needed.
Launch review workflow
Treat the first result as a launch-readiness conversation, not a final legal answer. The practical goal is to make the use case, affected people, oversight route, and evidence trail visible before the product ships.
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Define the decision point
Write down whether the system only assists with AI avatar generator or changes access, ranking, priority, pricing, eligibility, or review.
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Map affected people
List who sees the output, who is affected by it, and whether the system is offered in the EU market or used for EU users.
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Check human oversight
Decide where a trained person can review, override, explain, or stop the AI output before it creates a material impact.
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Collect launch evidence
Start with Synthetic media disclosure policy, then keep the risk result, key assumptions, reviewer notes, and user-facing disclosures together.
Documents to prepare
A useful first pass is not only a risk label. Teams should also collect the working notes that a reviewer, customer, investor, or internal launch owner will ask for.
- Synthetic media disclosure policy
- Deepfake and impersonation controls
- User-facing labeling guidance
- Moderation and abuse response process
- Model/provider record
Run the scenario through the tool
The checker will prefill likely answers for this scenario, generate a preliminary risk result, and produce a practical report with recommended next steps.
Start with this scenarioCommon review questions
Synthetic media tools need special attention because generated images, audio, or video can be mistaken for real events, people, or endorsements
The content could be mistaken for real people, events, or statements.
Synthetic media disclosure policy; Deepfake and impersonation controls; User-facing labeling guidance
Frequently asked questions
Is a watermark enough?
A watermark can help, but teams should also consider visible disclosures, policy controls, moderation, and provenance records.
Why is public distribution important?
Public distribution increases harm potential and usually strengthens the need for transparency and content governance.
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